education
PhD in Computer Science and Artificial Intelligence
University of Manchester, UK, 2025 - present
MSc in Business Analytics
University of Bath, UK, 2020 - 2023
Dissertation on Dynamic Time-Warping for clustering market data to enhance investment strategies by identifying asynchronous market patterns.
BSc in Computer Science
University of Manchester, UK, 2013 - 2017
Dissertation on non-intrusive native JVM agents for capturing the internal state of live production applications during critical failures.
continued education
Micromasters in Statistics and Data Science
Massachusetts Institute of Technology, US, 2025 - 2026
As nothing beats a structured and committed approach to learning, deep-diving into statistics (Larry Wasserman) and probabilities (Bertsekas, Tsitsiklis), and their use in machine learning and data science, from the fundamental theory, building and sedimenting understanding from the bottom up.
Artificial Intelligence Programme
University of Oxford, Saïd Business School, UK, 2025
Took off the theoretical engineer hat and put on the real-world problem-solving hat, where ethics, policy and business goals come to the forefront. Connected with individuals from across the world, at different levels of seniority and at diverse points in their lives, which taught me so many new perspectives on the problem of artificial intelligence and its deployment at scale.
workshops
patents
Agentically-Orchestrated Foundational Models for Cloud Architecture Development
US20250343728 - Application ID: 18651871
User response information is obtained comprising information indicative of cloud architecture requirements for a cloud architecture to fulfill. Based on the user response information, a plurality of agentic orchestration models are used to generate a respective plurality of role outputs, each of the plurality of agentic orchestration models comprising a machine-learned language model prompted to fulfill a corresponding cloud architecting role of a plurality of cloud architecting roles, wherein one of the plurality of role outputs is indicative of a plurality of proposed generic component placeholders for components necessary to meet the cloud architecture requirements. Based on the plurality of role outputs, a proposed architecture output is generated comprising a visual representation of the proposed generic component placeholders.
View Patentcertifications
Google Cloud Professional Developer
Google Cloud - 2023
AWS Associate Developer
Amazon Web Services - 2023
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